Sentiment analysis is used to monitor and understand customer feedback to support customer experience management, customer retention, and other voice of the customer (VoC) strategies.
The visual dashboard presents insights into overall sentiment distribution and sentiment across top topics, themes and entities. KnowledgeREADER takes sentiment analysis further with comparison analysis, trend analysis, association discovery and document exploration:
Comparison analysis allows you to detect similarities and differences in sentiment distribution across data sets, data sources or text analysis conducted at different points in time.
Trend analysis tracks sentiment over time across the most important entities, themes, topics and sentiment phrases discussed by customers.
Association discovery allows you to uniquely discover how terms are used in relation to each other in order to identify the context surrounding trending themes and topics.
Document exploration allows you to conduct a drill-down review of specific terms and themes or topics at the document level. Sentiment markup highlights all terms of interest and color codes them based on sentiment.